Risk estimation of cardiovascular patients using Weka

Bohacik, Jan; Davis, Darryl; Benedikovic, Miroslav

Abstract

Cardiovascular diseases remain the most prevalent cause of deaths worldwideand their prevention requires major life-style changes using limited health-care resources.Remote decision support for cardiovascular patients seems to allow them to lead a productivelife and to minimize the costs of treatment. In this paper, risk estimation of cardiovascularpatients on the basis of collected data used in our developing decision-makingsupport system is described. The system makes use of some data mining techniqueswhich are implemented in open source software tool Weka - Waikato Environment forKnowledge Analysis. The integration of Weka with our system, a description of used riskestimation models based on data mining techniques, and experimental results showing theperformance of these models are also given.

Citation

Bohacik, J., Davis, D., & Benedikovic, M. Risk estimation of cardiovascular patients using Weka. Presented at International Conference on Open Source Software in Education, Research and IT Solution, Zilina, Slovakia

• Presentation Conference Type: Conference Paper (published)
• Conference Name: International Conference on Open Source Software in Education, Research and IT Solution
• Acceptance Date: Jul 2, 2012
• Publication Date: Jul 2, 2012
• Publicly Available Date: Nov 29, 2018
• Volume: 2012
• Pages: 15 - 20
• Series Title: Proc. of the International Conference on Open Source Software in Education, Research and IT Solutions
• ISBN: 978-80-970457-2-2
• Public URL: https://hull-repository.worktribe.com/output/418022